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Deep Learning: A Bayesian Perspective

With Nicholas Polson, Professor of Econometrics and Statistics, University of Chicago. Deep learning is a form of machine learning for nonlinear high dimensional pattern matching and prediction. By taking a Bayesian probabilistic perspective, we provide a number of insights into more efficient algorithms for optimisation and hyper-parameter tuning.

Thursday, April 26 at 4:00pm to 5:00pm

Donald Bren Hall, 6011
6210 Donald Bren Hall, Irvine, CA 92697

Event Type

Lectures / Presentations

Audience

Faculty, General Public, Students, Graduate Students

Website

http://www.stat.uci.edu/seminar-series/

Cost

Free

Department
Information & Computer Sciences
Hashtag

#UCIBrenICS

Event Sponsor

Department of Statistics

Event Contact Email

lstieler@uci.edu

Event Contact Phone

949-824-3806

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